Amazon
Sr. Data Scientist, Generative AI Innovation Center
Amazon, Santa Clara, California, us, 95053
Sr. Data Scientist, Generative AI Innovation Center
Join to apply for the
Sr. Data Scientist, Generative AI Innovation Center
role at
Amazon Web Services (AWS) Sr. Data Scientist, Generative AI Innovation Center
1 week ago Be among the first 25 applicants Join to apply for the
Sr. Data Scientist, Generative AI Innovation Center
role at
Amazon Web Services (AWS) Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply state-of-the-art Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply state-of-the-art Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
Were looking for Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
Collaborate with other AI/ML scientists and architects to research, design, develop, and evaluate novel generative AI solutions to address real-world challenges Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder Provide customer and market feedback to product and engineering teams to help define product direction
A day in the life
About The Team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS, its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience 2+ years of hands-on experience with generative AI technology 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing, neural deep learning methods and/or machine learning 5+ years of hands on experience with Python to build, train, and evaluate models 4+ years of technical client engagement experience
Preferred Qualifications
Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker Experience with design, deployment, and evaluation of Large Language Model (LLM)- powered agents and tools and orchestration approaches Experience with design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs Experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/ or similar tools Hands on experience building cloud applications
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Amazon Web Services, Inc.
Job ID: A2998244
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Research, Science, and Engineering Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x Sign in to set job alerts for Senior Data Scientist roles.
San Jose, CA $123,500.00-$212,850.00 1 day ago Senior Decision Scientist - Growth Marketing
San Jose, CA $120,000.00-$175,000.00 3 weeks ago Sunnyvale, CA $169,000.00-$338,000.00 2 weeks ago Menlo Park, CA $253,000.00-$314,000.00 1 hour ago Senior Director, Commercial Data Science
San Jose, CA $152,500.00-$262,350.00 1 month ago San Jose, CA $375,666.00-$450,799.00 1 day ago Palo Alto, CA $170,000.00-$190,000.00 2 weeks ago Director, Scientific Content Engineering/Data Science, QDI
Director of Data Science - Recommendations and E-Commerce
Pleasanton, CA $201,700.00-$267,300.00 2 months ago Senior Manager, Infrastructure Data Science
Research Scientist Graduate, Quantum Chemistry and Machine Learning - 2026 Start (PhD)
San Jose, CA $145,000.00-$250,000.00 1 week ago San Francisco Bay Area $128,000.00-$178,000.00 2 weeks ago Senior Data Analyst Operations & Supply Chain
San Jose, CA $89,300.00-$146,900.00 1 week ago Director of Finance and Administration, Biomedical Data Science
Stanford, CA $205,050.00-$283,688.00 5 days ago Foster City, CA $155,300.00-$225,300.00 1 week ago Director of Finance and Administration, Biomedical Data Science
Stanford, CA $205,050.00-$283,688.00 8 months ago Data Scientist, Analytics - Safety Response
San Jose, CA $132,000.00-$254,000.00 1 day ago Palo Alto, CA $164,000.00-$184,000.00 14 hours ago San Jose, CA $109,000.00-$192,400.00 1 day ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Join to apply for the
Sr. Data Scientist, Generative AI Innovation Center
role at
Amazon Web Services (AWS) Sr. Data Scientist, Generative AI Innovation Center
1 week ago Be among the first 25 applicants Join to apply for the
Sr. Data Scientist, Generative AI Innovation Center
role at
Amazon Web Services (AWS) Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply state-of-the-art Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Description
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply state-of-the-art Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
Were looking for Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
Collaborate with other AI/ML scientists and architects to research, design, develop, and evaluate novel generative AI solutions to address real-world challenges Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder Provide customer and market feedback to product and engineering teams to help define product direction
A day in the life
About The Team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS, its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience 2+ years of hands-on experience with generative AI technology 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing, neural deep learning methods and/or machine learning 5+ years of hands on experience with Python to build, train, and evaluate models 4+ years of technical client engagement experience
Preferred Qualifications
Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker Experience with design, deployment, and evaluation of Large Language Model (LLM)- powered agents and tools and orchestration approaches Experience with design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs Experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/ or similar tools Hands on experience building cloud applications
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Amazon Web Services, Inc.
Job ID: A2998244
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Research, Science, and Engineering Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x Sign in to set job alerts for Senior Data Scientist roles.
San Jose, CA $123,500.00-$212,850.00 1 day ago Senior Decision Scientist - Growth Marketing
San Jose, CA $120,000.00-$175,000.00 3 weeks ago Sunnyvale, CA $169,000.00-$338,000.00 2 weeks ago Menlo Park, CA $253,000.00-$314,000.00 1 hour ago Senior Director, Commercial Data Science
San Jose, CA $152,500.00-$262,350.00 1 month ago San Jose, CA $375,666.00-$450,799.00 1 day ago Palo Alto, CA $170,000.00-$190,000.00 2 weeks ago Director, Scientific Content Engineering/Data Science, QDI
Director of Data Science - Recommendations and E-Commerce
Pleasanton, CA $201,700.00-$267,300.00 2 months ago Senior Manager, Infrastructure Data Science
Research Scientist Graduate, Quantum Chemistry and Machine Learning - 2026 Start (PhD)
San Jose, CA $145,000.00-$250,000.00 1 week ago San Francisco Bay Area $128,000.00-$178,000.00 2 weeks ago Senior Data Analyst Operations & Supply Chain
San Jose, CA $89,300.00-$146,900.00 1 week ago Director of Finance and Administration, Biomedical Data Science
Stanford, CA $205,050.00-$283,688.00 5 days ago Foster City, CA $155,300.00-$225,300.00 1 week ago Director of Finance and Administration, Biomedical Data Science
Stanford, CA $205,050.00-$283,688.00 8 months ago Data Scientist, Analytics - Safety Response
San Jose, CA $132,000.00-$254,000.00 1 day ago Palo Alto, CA $164,000.00-$184,000.00 14 hours ago San Jose, CA $109,000.00-$192,400.00 1 day ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr